The NSW Koala Priority Population Monitoring program is an important long-term initiative focused on 20 priority koala populations identified in the NSW Koala Strategy. The program aims to improve understanding of long-term trends in koala occupancy and habitat suitability, providing robust data on population status at both regional and statewide scales using acoustic surveys (passive acoustic recording devices, song meter minis) to monitor koala occupancy at approximately 2,000 sites. The 20 high-priority koala population areas are monitored on alternative years, maintaining a biennial monitoring cycle.

Priority Population Monitoring data for 8 sites in 2023

This dataset represents eight priority monitoring areas sampled in 2023:

• Ballina/Byron
• Armidale
• Liverpool Plains
• Southern Highlands
• Blue Mountains (Lower)
• Southwest Sydney
• Narrandera
• Far South Coast

Each passive acoustic recording device recorded between 7 and 21 nights (16 ± 1 sampling nights) between September and late November to capture the breeding season when male koalas are most vocal. Passive acoustic recording devices were programmed to record from sunset to sunrise, coinciding with the peak daily calling period of koalas. Note: Byron/Ballina forms one priority monitoring area as part of this program, however appears as two distinct areas in this dataset.

Transport for NSW provides projections of employment at the small area (Travel Zone or TZ) level for NSW. The latest version is Travel Zone Projections 2024 (TZP24), released in January 2025.\r \r TZP24 replaces the previously published TZP22.\r \r The projections are developed to support a strategic view of NSW and are aligned with the NSW Government Common Planning Assumptions .\r \r TZP24 Employment Projections are for employed persons by place of work. They are provided by Industry using two breakdowns:\r \r *\t33 industry categories (equivalent to the ABS 1-digit Australia and New Zealand Standard Industrial Classification (ANZSIC) codes with the exception of Manufacturing which is at 2-digit level).\r \r *\t4 Broad Industry Categories (groupings of the above).\r \r The projections in this release, TZP24, are presented annually from 2021 to 2031 and 5-yearly from 2031 to 2066, and are in TZ21 geography.\r \r Please note, TZP24 is based on best available data as at early 2024, and the projections incorporate results of the National Census conducted by the ABS in August 2021.\r \r Key Data Inputs used:\r \r *\tTZP24 Workforce Projections\r \r *\tCensus 2021 Place of Work by Destination Zone - ABS\r \r *\tNSW Intergenerational Report - NSW Treasury\r \r *\tSA4 Employment by industry projections - Victoria University\r \r *\tFuture Employment Development Database (FEDD) - a custom dataset compiled by TfNSW between August 2023 and February 2024, that presents the number of jobs expected from major projects based on publicly available documents.\r \r For a summary of the TZP24 Projections method please refer to the TZP24 Factsheet .\r \r For more detail on the projection process please refer to the TZP24 Technical Guide .\r \r Additional land use information for population and workforce as well as Travel Zone 2021 boundaries for NSW (TZ21) and concordance files are also available for download on the Open Data Hub.\r \r Visualisations of the employment projections are available on the Transport for NSW Website .\r \r Cautions\r \r The TZP24 dataset represents one view of the future aligned with the NSW Government Common Planning Assumptions for population and employment projections.\r \r The projections are not based on specific assumptions about future new transport infrastructure, but do take into account known land-use developments underway or planned, and strategic plans.\r \r *\tTZP24 is a strategic state-wide dataset and caution should be exercised when considering results at detailed breakdowns.\r \r *\tThe TZP24 outputs represent a point in time set of projections (as at early -2024).\r \r *\tThe projections are not government targets.\r \r *\tTravel Zone (TZ) level outputs are projections only and should be used as a guide. As with all small area data, aggregating of travel zone projections to higher geographies leads to more robust results.\r \r *\tAs a general rule, TZ-level projections are illustrative of a possible future only.\r \r *\tMore specific advice about data reliability for the specific variables projected is provided in the “Read Me” page of the Excel format summary spreadsheets on the TfNSW Open Data Hub.\r \r *\tCaution is advised when comparing TZP24 with the previous set of projections (TZP22) due to addition of new data sources for the most recent years, and adjustments to methodology.\r \r Further cautions and notes can be found in the TZP24 Technical Guide.

The Koala Sentinel Monitoring Program is a multi-year initiative designed to assess koala populations across six key locations in NSW. The program focuses on monitoring disease prevalence, genetic diversity, and ecological factors influencing koala populations. The data collected aims to identify and understand the complex interactions between environmental threats and koala population health, providing insights into long-term population trends. Since its launch, the program has completed one full monitoring cycle (Nov 2023 – Sept 2024) and is currently in its second round, which will conclude in September 2025.

The NSW Post-School Destinations and Experiences Survey (PSDES) collects information about the main destinations of recent school leavers in the 6 to 12 months after leaving school.

Data Notes

• The survey collected data on school leavers in the 6-12 months after leaving school in 2023, School leavers comprise students who completed Year 12 and students who left school while they were in Year 10, 11 or 12 (early school leavers).

• There are some caveats and limitations in the generalisability of survey findings to the total population of recent school leavers in NSW. For example, students who completed Year 12 via an alternative pathway other than the HSC, such as the International Baccalaureate, are not counted as Year 12 completers and are not covered in the survey.

• Prior to 2021 a stratified sampling approach was used for the mainstream Year 12 completer survey (excluding Aboriginal and/or Torres Strait Islander and non-Connected Community school leavers). The sampling strategy for this group changed to a census for the first time in 2021 and resulted in a marked increase in the overall proportion of responses collected from the target population.

• Time series data of destinations by student type from 2014 to 2018 should be used with caution as some counts of school leavers are estimated from lower cell counts than in later years. Estimates in the data are based on base weights which are adjusted to matched population distributions for school leaver characteristics to minimise non-response bias.

• Each table shows population estimates (as column totals) for each grouping variable and leaver type combination as well as weighted percentages for each of the 10 main destination categories included in the survey. Population estimates and destination percentage breakdowns are also included for all leavers (across leaver type). Findings are reported at a system level (across leavers from government and non-government schools).

• For a full description of notes and caveats, see the 2023 Post-School Destinations and Experiences Survey Technical Report

• See the 2023 Post-School Destinations and Experiences Survey, Annual Report and fact sheets

Data Source

NSW Post-School Destinations and Experiences Survey

Available tables in this dataset:

• Table 1 provides a breakdown of main destination by leaver type and survey year (2014 to 2023).
• Table 2 provides a breakdown of main destination by leaver type and gender (as self-identified) for 2023 only.
• Table 3 provides a breakdown of main destination by leaver type and Aboriginal status (as self-identified) for 2023 only.

The Koala Sentinel Monitoring Program is a multi-year initiative designed to assess koala populations across six key locations in NSW. The program focuses on monitoring disease prevalence, genetic diversity, and ecological factors influencing koala populations. The data collected aims to identify and understand the complex interactions between environmental threats and koala population health, providing insights into long-term population trends. Since its launch, the program has completed one full monitoring cycle (Nov 2023 – Sept 2024) and is currently in its second round, which will conclude in September 2025. \r \r

Genomics data\r

This metadata statement describes the genomic and individual-level data collected during the first annual sampling period (2023–2024) and links to the publicly available whole genome resequencing (WGR) dataset.

Data Notes:

• 'SA4 grouping’ and ‘remoteness’ describe areas within NSW. Both are ABS standard categories. SA4 group relates to a predefined geographical area, based on population and labour markets, whereas remoteness is based on density of population.

• From 2016 onwards, geographical data is reported by the ABS remoteness structure. The ABS remoteness structure uses 5 categories: Major Cities, Inner Regional, Outer Regional, Remote and Very Remote. Prior to 2016, MCEECDYA categories were used, which divided schools into four categories.

• Since 2014, the department has used a geographical structure based on the new ABS Australian Statistical Geography Standard (ASGS). Groups of ASGS Statistical Area 4 (SA4) boundaries in NSW have been combined into 11 groups for reporting and publication of department data. Previous publications compared enrolments in DEC regions. Further information on SA4 groups is available in the Statistical Bulletin Explanatory Notes.

Data Source:

• Schools and Students: Statistical Bulletin. Centre for Education Statistics and Evaluation.

AbstractIn 2015, the Department of Health introduced the Modified Monash Model (MMM) classification system as it better targets health workforce programs by categorising metropolitan, regional, rural and remote areas according to both geographical remoteness, as defined by the Australian Bureau of Statistics, and town size. The MMM 2019 was updated on 1 July 2019.The MMM2023 was updated on 10 March 2025 to use the latest available Australian Bureau of Statistics (2021) Census data and geography information.The 2023 MMM uses the following data sets:Australian Statistical Geography Standard 2021 Statistical Area 1; and Urban Centres and Localities as the geographic bases;Australian Statistical Geography Standard – Remoteness Area 2021 as the ABS remoteness classification (based on Accessibility and Remoteness Index of Australia (ARIA+);Estimated Resident Population 2023; and Esri ArcGIS StreetMap Premium Asia Pacific 2021.CurrencyDate modified: March 2025Modification frequency: As neededData ExtentSpatial ExtentWest: 96.82°South: -43.74°East: 167.99°North: -9.14°Source InformationData Derived from research conducted by the Monash UniversityAustralian Department of Health and Aged care: Geospatial Data HubLineage StatementThe Modified Monash Model (MMM) is derived from research by the Monash University as to how locations relate to key GP workforce indicators. Data has been Geographically set to the Australian Bureau of Statistics’ (ABS) Australian Statistical Geography Standard (ASGS).Data DictionaryAttribute NameDescriptionOBJECTIDAutomatically generated system IDMMM Code (2023)Hospital CodeMMM Name (2023)Hospital NameShape_AreaSystem Managed CalculationShape_LengthSystem Managed CalculationContactContact: Department of Health and Aged Care - geospatial@health.gov.au

Household Travel Survey (HTS) is the most comprehensive source of personal travel data for the Sydney Greater Metropolitan Area (GMA). This data explores average weekday travel patterns for residents in Sydney GMA.\r \r The Household Travel Survey (HTS) collects information on personal travel behaviour. The study area for the survey is the Sydney Greater Metropolitan Area (GMA) which includes Sydney Greater Capital City Statistical Area (GCCSA), parts of Illawarra and Hunter regions. All residents of occupied private dwellings within the Sydney GMA are considered within scope of the survey and are randomly selected to participate.\r The HTS has been running continuously since 1997/981 and collects data for all days through the year – including during school and public holidays.\r \r Typically, approximately 2,000-3,000 households participate in the survey annually. Data is collected on all trips made over a 24-hour period by all members of the participating households.\r \r Annual estimates from the HTS are usually produced on a rolling basis using multiple years of pooled data for each reporting year2. All estimates are weighted to the Australian Bureau of Statistics’ Estimated Resident Population, corresponding to the year of collection3. Unless otherwise stated, all reported estimates are for an average weekday.\r \r \r \r Due to disruptions in data collection resulting from the lockdowns during the COVID-19 pandemic, post-COVID releases of HTS data are based on a lower sample size than previous HTS releases. To ensure integrity of the results and mitigate risk of sampling errors some post-COVID results have been reported differently to previous years. Please see below for more information on changes to HTS post-COVID (2020/21 onwards).\r \r 1. Data collection for the HTS was suspended during lock-down periods announced by the NSW Government due to COVID-19.\r \r 2. Exceptions apply to the estimates for 2020/21 which are based on a single year of sample as it was decided not to pool the sample with data collected pre-COVID-19. \r \r 3. HTS population estimates are also slightly lower than those reported in the ABS census as the survey excludes overseas visitors and those in non-private dwellings.\r \r Changes to HTS post-COVID (2020/21 onwards)\r \r HTS was suspended from late March 2020 to early October 2020 due to the impact and restrictions of COVID-19, and again from July 2021 to October 2021 following the Delta wave of COVID-19. Consequently, both the 2020/21 and 2021/22 releases are based on a reduced data collection period and smaller samples.\r \r Due to the impact of changed travel behaviours resulting from COVID-19 breaking previous trends, HTS releases since 2020/21 have been separated from pre-COVID-19 samples when pooled. As a result, HTS 2020/21 was based on a single wave of data collection which limited the breadth of geography available for release. Subsequent releases are based on pooled post-COVID samples to expand the geographies included with reliable estimates.\r \r Disruption to the data collection during, and post-COVID has led to some adjustments being made to the HTS estimates released post-COVID:\r \r SA3 level data has not been released for 2020/21 and 2021/22 due to low sample collection.\r LGA level data for 2021/22 has been released for selected LGAs when robust Relative Standard Error (RSE) for total trips are achieved\r Mode categories for all geographies are aggregated differently to the pre-COVID categories\r Purpose categories for some geographies are aggregated differently across 2020/21 and 2021/22.\r A new data release – for six cities as defined by the Greater Sydney Commission - is included since 2021/22.\r Please refer to the Data Document for 2022/23 (PDF, 262.54 KB) for further details.\r \r \r RELEASE NOTE\r \r The latest release of HTS data is 15 May 2025. This release includes Region, LGA, SA3 and Six Cities data for 2023/24. Please see 2023/24 Data Document for details.\r \r A revised dataset for LGAs and Six Cities for HTS 2022/23 data has also been included in this release on 15 May 2025. If you have downloaded HTS 2022/23 data by LGA and/or Six Cities from this link prior to 15/05/2025, we advise you replace it with the revised tables. If you have been supplied bespoke data tables for 2022/23 LGAs and/or Six Cities, please request updated tables.\r \r Revisions to HTS data may be made on previously published data as new sample data is appended to improve reliability of results. Please check this page for release dates to ensure you are using the most current version or create a subscription (https://opendata.transport.nsw.gov.au/subscriptions) to be notified of revisions and future releases.\r